search for: ucstoutf8

Dear list, I have spotted what could be a memory leak somewhere. The example below shows how to quickly use up RAM on a linux machine (the example is taylored for a 2Gb machine, change the size of the matrix m is needed). # --- m <- matrix(rnorm(130), nrow=6000, 6) X11(type="cairo") pairs(m) # --- here the trouble starts (monitor the memory usage as the plot goes). pairs(m,

...now has P value >= 0 (instead of barely negative). o assign() now warns if given a character vector of length > 1, rather than silently taking the first element. o rcond(<exactly singular matrix>) now gives 0 instead of an error. o There was a memory leak in C function ucstoutf8 used by some graphics devices. o Plots of profile.mle() objects (package 'stats4') were misbehaving when the 'which' argument had been used in their calculation. o dnbinom(x, size, mu=*, ..) is now more accurate for very large 'size'. The same applies to pnbin...

...now has P value >= 0 (instead of barely negative). o assign() now warns if given a character vector of length > 1, rather than silently taking the first element. o rcond(<exactly singular matrix>) now gives 0 instead of an error. o There was a memory leak in C function ucstoutf8 used by some graphics devices. o Plots of profile.mle() objects (package 'stats4') were misbehaving when the 'which' argument had been used in their calculation. o dnbinom(x, size, mu=*, ..) is now more accurate for very large 'size'. The same applies to pnbin...